Objective: The purpose of this study was to compare the quality of diabetes care provided to American Indians/Alaska Natives (AI/AN) by urban and rural Indian health programs.
Design: Medical record review data collected by the Indian Health Service as part of the Diabetes Care and Outcomes Audit in 2002.
Setting: Seventeen urban Indian health clinics and 225 rural Indian health programs.
Patients: All urban AI/AN patients (n = 710) and random sample records of rural AI/AN patients (n=1420).
Main Outcomes Measures: Adherence to guidelines for process measures and intermediate outcomes of diabetes care.
Results: Compared to the rural sample, urban patients were more likely to have received diabetes education during the prior year (P < or = .05). Annual dental examinations were less common among urban patients than rural patients (19% vs 41%, P < or = .001). Completion of laboratory testing and immunizations were similar in both groups. Adjusted mean levels for intermediate outcomes of diabetes care and the percentage achieving recommended levels varied slightly but were not statistically or clinically significant.
Conclusions: Few differences in the quality of diabetes care were found between urban and rural Indian health sites. Differences in the receipt of dental examinations may reflect differences in resources and staffing between urban and rural settings. This study serves as a baseline for the assessment of ongoing interventions aimed at improving the quality of care.
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Ann Indian Acad Neurol
January 2025
Comprehensive Care Centre for Movement Disorders, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.
Background And Objectives: Pain is an important non-motor symptom in Parkinson's disease (PD) and is often under-recognized. Pain is also a symptom frequently reported by non-PD elderly subjects. The King's Parkinson's Disease Pain Scale (KPPS) is a valid tool to characterize and quantify pain in PD and has been translated into several languages.
View Article and Find Full Text PDFParasit Vectors
January 2025
Diptera Section, Zoological Survey of India, Kolkata, West Bengal, India.
Background: The detection of multiple bluetongue virus serotypes, increasing trend in livestock density, rich biological diversity with high endemism, and the status of the Andaman and Nicobar Islands as a popular tourist destination underscore the need for a faunistic survey of medically and veterinary significant vector species, specifically Culicoides, in this region. Moreover, scattered information on Indian Culicoides species complicates the planning and implementation of preventive measures for pathogens transmitted by these vectors. This study aims to provide the first comprehensive account of the Culicoides fauna in the Andaman and Nicobar Islands, India, along with an updated checklist of Indian Culicoides species and their state-wise distribution.
View Article and Find Full Text PDFInt J Equity Health
January 2025
JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Background: South Asians living in urbanized settings are facing disproportionate cardiovascular burden largely attributable to modifiable risk factors. Given the rapid surge in South Asian population in Hong Kong, this study aims to identify and distinguish clusters of cardiovascular risk profiles among community-dwelling South Asian adults.
Methods: Between June 2022 and December 2023, 1181 South Asian adults were recruited through territory-wide outreach health assessments on lifestyle, psychological distress, obesity, clinical cardiovascular conditions, and sociodemographic factors.
BMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Facultad de Odontología, Universidad de los Andes, Chile, Las Condes, Chile.
Introduction: Certain aspects of indigenous communities, such as cultural practices and access to care, have been discussed as potential determinants of oral health. However, research on this topic remains limited. Understanding the factors influencing oral health and their perceptions is crucial for developing culturally appropriate interventions.
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